Safety is foundational to the design of the gpt-oss models, which follow OpenAI's safety policies by default. This approach includes rigorous safety testing and a mitigation strategy that teaches the models to refuse unsafe prompts and respond robustly to potential jailbreaks. The models are trained with a structured instruction hierarchy to prioritize safety, emphasizing that system messages take precedence over user inputs to minimize risks of harmful outputs[1].
Additionally, evaluations conducted on the models ensure they do not comply with requests for disallowed content, and they are tested against various adversarial scenarios to assess their resilience. These efforts aim to adhere to safety standards while allowing developers to implement added safeguards as necessary[1].
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